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About

Damayanti Gharpure is a pioneering researcher in the field of bio-inspired robotics, with a specialized focus on odor source localization and plume tracking. Her work bridges the gap between biological olfaction systems and autonomous robotic platforms, addressing one of the most challenging problems in mobile robotics: how to effectively detect and locate odor leaks in complex environments. Gharpure’s most significant contribution is the development and evaluation of the "Mokhtar" robotic platform, a bio-inspired system designed for odor leak localization. Her research tackles critical obstacles such as intermittent odor distribution and non-uniform airflow, achieving 21 citations for her foundational 2017 study. She has also innovated novel plume-tracking algorithms, including the Surge-spiralx and Surge-castx strategies, which utilize a unique 3-nose sensor configuration to mimic insect behavior. Her priority-based (PB) algorithm further advances the field by modeling insect-inspired decision-making for sensor array optimization. With over 60 total citations across her published works, Gharpure has demonstrated consistent impact in this niche but vital area of robotics. Her development of the Path and Position Monitoring System (PPMS) for indoor robot applications showcases her commitment to practical, implementable solutions. By integrating embedded technology, metal semiconductor sensors, and bio-inspired algorithms, Gharpure has laid crucial groundwork for autonomous systems capable of detecting hazardous gas leaks, with applications ranging from industrial safety to environmental monitoring.